公开(公告)号：US09881354B2

公开(公告)日：2018-01-30

申请号：US13421307

申请日：2012-03-15

申请人： Johannes Peter Kopf ,  Sing Bing Kang ,  Wolf Kienzle ,  Steven M. Drucker

发明人： Johannes Peter Kopf ,  Sing Bing Kang ,  Wolf Kienzle ,  Steven M. Drucker

IPC分类号： G06K9/00 ,  G06T3/40 ,  G06T5/00

CPC分类号： G06T3/4038 ,  G06T5/005

摘要： Described is a technology by which an image such as a stitched panorama is automatically cropped based upon predicted quality data with respect to filling missing pixels. The image may be completed, including by completing only those missing pixels that remain after cropping. Predicting quality data may be based on using restricted search spaces corresponding to the missing pixels. The crop is computed based upon the quality data, in which the crop is biased towards including original pixels and excluding predicted low quality pixels. Missing pixels are completed by using restricted search spaces to find replacement values for the missing pixels, and may use histogram matching for texture synthesis.

公开(公告)号：US20130243320A1

公开(公告)日：2013-09-19

申请号：US13421307

申请日：2012-03-15

申请人： Johannes Peter Kopf ,  Sing Bing Kang ,  Wolf Kienzle ,  Steven M. Drucker

发明人： Johannes Peter Kopf ,  Sing Bing Kang ,  Wolf Kienzle ,  Steven M. Drucker

IPC分类号： G06K9/36

CPC分类号： G06T3/4038 ,  G06T5/005

摘要： Described is a technology by which an image such as a stitched panorama is automatically cropped based upon predicted quality data with respect to filling missing pixels. The image may be completed, including by completing only those missing pixels that remain after cropping. Predicting quality data may be based on using restricted search spaces corresponding to the missing pixels. The crop is computed based upon the quality data, in which the crop is biased towards including original pixels and excluding predicted low quality pixels. Missing pixels are completed by using restricted search spaces to find replacement values for the missing pixels, and may use histogram matching for texture synthesis.

摘要翻译： 描述了一种基于相对于填充缺失像素的预测质量数据自动裁剪诸如缝合全景图像的技术。 可以完成图像，包括仅完成裁剪后剩余的那些丢失的像素。 预测质量数据可以基于对应于缺失像素的限制搜索空间。 基于质量数据计算作物，其中作物偏向于包括原始像素并排除预测的低质量像素。 通过使用限制搜索空间来找到丢失的像素的替换值，可以完成缺少的像素，并且可以使用纹理合成的直方图匹配。